A REDUCED COMPLEXITY RECURSIVE LEAST SQUARE LATTICE STRUCTURE ADAPTIVE FILTER BY MEANS OF APPROXIMATING THE FORWARD ERROR PREDICTION SQUARES USING THE BACKWARD ERROR PREDICTION SQUARES

摘要

A method for reducing a computational complexity of an m-stage adaptive filter is provided by determining a weighted sum of backward prediction error squares for stage m at time n, determining a conversion factor for stage m at time n, inverting the weighted sum of backward prediction error squares, and approximating a weighted sum of forward prediction error squares by combining the inverted weighted sum of backward prediction error squares with the conversion factor.